Revolutionizing agricultural productivity with automated early leaf disease detection system for smart agriculture applications using IoT platform
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10668-024-05228-7.pdf
Reference50 articles.
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4. Abdullah, M. I., Hao, S. K., Abdullah, I., Faizah, S. (2023) Parkinson's disease symptom detection using hybrid feature extraction and classification model. 2023 IEEE 14th control and system graduate research colloquium, ICSGRC 2023–Conference Proceeding 2023. p. 93–8.
5. Adha, F. J., Ramli, R., Alkawaz, M. H., Johar, M. G. M., Hajamydeen, A. I. (2021) Assessment of conceptual framework for monitoring poultry farm's temperature and humidity. 2021 IEEE 11th international conference on system engineering and technology, ICSET 2021–Proceedings2021. p. 40–5.
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